code: def _get_intXslice(self, row, col):
      if col.step in (1, None):
          return self._get_submatrix(row, col, copy=True)
      # TODO: uncomment this once it's faster:
      # return self._getrow(row)._minor_slice(col)
  
      M, N = self.shape
      start, stop, stride = col.indices(N)
  
      ii, jj = self.indptr[row : row + 2]
      row_indices = self.indices[ii:jj]
      row_data = self.data[ii:jj]
  
      if stride > 0:
          ind = (row_indices >= start) & (row_indices < stop)
      else:
          ind = (row_indices <= start) & (row_indices > stop)
  
      if abs(stride) > 1:
          ind &= (row_indices - start) % stride == 0
  
      row_indices = (row_indices[ind] - start) // stride
      row_data = row_data[ind]
      row_indptr = np.array([0, len(row_indices)])
  
      if stride < 0:
          row_data = row_data[::-1]
          row_indices = abs(row_indices[::-1])
  
      shape = (1, max(0, int(np.ceil(float(stop - start) / stride))))
      return self.__class__(
          (row_data, row_indices, row_indptr),
          shape=shape,
          dtype=self.dtype,
          copy=False,
      )
  
imports: import numpy
  from ._matrix import spmatrix
  from ._base import _spbase, sparray
  from ._sparsetools import csr_tocsc, csr_tobsr, csr_count_blocks, get_csr_submatrix
  from ._sputils import upcast
  from ._compressed import _cs_matrix
label_desc: Use image node_id 11 for calling the _csr_base obj's underlying member method code with example usage: obj._get_intXslice(row, col) and returns: self, self